datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ShotBench
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
This is the official test set of ShotBench, comprising 3,572 question-answer pairs. Each sample is paired with either an image or a video clip. In total, ShotBench includes 3,049 images and 464 videos, primarily sourced from films that received Oscar nominations for Best Cinematography, ensuring high visual quality and strong cinematic style.
Paper: ShotBench: Expert-Level Cinematic Understanding in… See the full description on the dataset page: https://huggingface.co/datasets/Vchitect/ShotBench.pcqnp-finite-shot-reliability-artifact
PC-QNP Finite-Shot Reliability Artifact
This anonymous review artifact supports a NeurIPS 2026 Evaluations & Datasets submission on physics-conformal reliability evaluation for finite-shot quantum-process surrogate models. The asset is intended for reviewer inspection and reviewer-level reproduction of the reported aggregate tables, nested residual-repair calculation, and IBM stochastic Pauli-channel protocol validation.
Contents
code_snapshot/: cleaned source-code… See the full description on the dataset page: https://huggingface.co/datasets/anon-pcqnp-ed26/pcqnp-finite-shot-reliability-artifact.shotbench-organized
ShotBench Dataset
Overview
ShotBench is a comprehensive benchmark for evaluating Vision-Language Models' understanding of cinematic language. It comprises 3,572 expert-annotated QA pairs from over 200 Oscar-nominated films.
Structure
— Complete dataset in JSON format
— Category distribution summary
— Per-category QA pairs
— 3,049 movie still images
— 464 movie video clips
8 Cinematography Dimensions
Dimension
Count
%… See the full description on the dataset page: https://huggingface.co/datasets/Baggio1012/shotbench-organized.certain-shot-50356d
certain-shot-50356d
Synthetic products test data: 52 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/shoheikimura77/certain-shot-50356d.NLU-few-shot-benchmark-en-de
NLU Few-shot Benchmark - English and German
This is a few-shot training dataset from the domain of human-robot interaction.
It contains texts in German and English language with 64 different utterances (classes).
Each utterance (class) has exactly 20 samples in the training set.
This leads to a total of 1280 different training samples.
The dataset is intended to benchmark the intent classifiers of chat bots in English and especially in German language.
We are building on our… See the full description on the dataset page: https://huggingface.co/datasets/deutsche-telekom/NLU-few-shot-benchmark-en-de.premier-league-shot-creation-integrity-v0.1What this dataset tests
Whether a shot was structurally created.
This is not finishing.
This is not outcome.
It measures if the attack created a real advantage
or ended in a bailout attempt.
Required outputs
creation_integrity_label
creation_pathway_type
advantage_created_index
defensive_displacement_evidence
pre_shot_option_quality_index
bailout_flag
Creation pathway examples
cutback line break
underlap drag square
press regain rebound
isolation 1v1 then scramble
sterile possession end… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/premier-league-shot-creation-integrity-v0.1.ShotBench
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
This is the official test set of ShotBench, comprising 3,572 question-answer pairs. Each sample is paired with either an image or a video clip. In total, ShotBench includes 3,049 images and 464 videos, primarily sourced from films that received Oscar nominations for Best Cinematography, ensuring high visual quality and strong cinematic style.
Paper: ShotBench: Expert-Level Cinematic Understanding in… See the full description on the dataset page: https://huggingface.co/datasets/marvex/ShotBench.zero-shot-phonicszero-shot-classification-news-uzbekTwitter-Indonesian-Sarcastic-Synthetic-Zero-Shot-TopicReddit-Indonesian-Sarcastic-Synthetic-Zero-Shot-Topic2713-2024-shot-predictionzero_shot_1_PubMed3D_Few-Shot_Class-Incremental_Learning_Dataset
数据集说明
数据集结构
├ trainset/
├── 0/
│ ├── [label]-xxxxx.npy
│ ├── ......
├── 1/
├── ......
├── 10/
│
├ testset/
├── 0/
│ ├── xxxxx.npy
│ ├── ......
├── 1/
├── ......
├── 10/
文件夹"0"为基类数据集，文件夹"1"-"10"为新类数据集的10个增量阶段数据。每个文件夹内包含.npy格式的点云数据，可以使用numpy.load(path)读取相应文件。在trainset中，文件命名保证依照"[label]-xxxxx.npy"格式，其中第一个"-"前的内容为该点云的类别名，可以使用filename.split('-')[0]获取相应标签。
数据集读取示例
class CONTESTCIL_train(Dataset):
def __init__(self, root='./trainset', session=0… See the full description on the dataset page: https://huggingface.co/datasets/tyhuang/3D_Few-Shot_Class-Incremental_Learning_Dataset.few-shot-training-ablation1_shot_instruct_coversationzero_shot_test
Dataset Card for Dataset Name
This dataset is a test result csv file from the zero-shot prompting experiment.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]:… See the full description on the dataset page: https://huggingface.co/datasets/sinandraide/zero_shot_test.zero-shot_datasets
Zero-Shot Cross-Database Benchmark Datasets
This repository contains datasets used for zero-shot cardinality estimation and query optimization research.
Dataset Description
This collection includes multiple relational database datasets with their schemas, data files (CSV format), and statistics:
Included Datasets
accidents: Traffic accident data
airline: Flight and airline information
baseball: Baseball statistics
basketball: Basketball statistics… See the full description on the dataset page: https://huggingface.co/datasets/Anpo13211/zero-shot_datasets.shot-creation-integrity-premier-league-v0.1What this dataset tests
Shot creation quality in Premier League football.
Not goals.Not shooting skill.
Creation integrity.
Task
Given the creation sequence and the shot contextclassify creation integrity
creation_high
creation_medium
creation_low
Required outputs
label
advantage delta in xG
creation mode
pressure note
coaching recommendation
nba-shot-selection-defense-coherence-risk-v0.1What this repo is for
Detect poor shot selection before scoring drop.
Focus
shot type vs defender distance
spacing
clock pressure
ball movement
Why it matters
Shot quality drives efficiency.
Bad selections repeat as patterns.
Reddit-Indonesian-Sarcastic-Synthetic-One-Shotfew_shotautotrain-1-shotchat_single_func_5_5_shotchat_prompt_func_5_0_shot_1chat_prompt_func_5_0_shot_new_for_5shot_extendshot-selection-integrity-premier-league-v0.1What this dataset tests
Shot decisions in Premier League football using expected goals as the value benchmark. :contentReference[oaicite:3]{index=3}
Do not judge who misses.Judge decision quality:was a better option (higher xG) available?If yes — did the player take it?
Required outputs
integrity label
expected goals delta
pressure context
coaching action
Use of xG models is standard in modern football analytics to quantify shot quality. :contentReference[oaicite:4]{index=4}
chat_single_func_10_0_shotchat_single_func_10_5_shot